Classification of Horse Gaits Using FCM-Based Neuro-Fuzzy Classifier from the Transformed Data Information of Inertial Sensor
In this study, we classify four horse gaits (walk, sitting trot, rising trot, canter) of three breeds of horse (Jeju, Warmblood, and Thoroughbred) using a neuro-fuzzy classifier (NFC) of the Takagi-Sugeno-Kang (TSK) type from data information transformed by a wavelet packet (WP). The design of the N...
Main Authors: | Jae-Neung Lee, Myung-Won Lee, Yeong-Hyeon Byeon, Won-Sik Lee, Keun-Chang Kwak |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/16/5/664 |
Similar Items
-
Design of Ensemble Stacked Auto-Encoder for Classification of Horse Gaits with MEMS Inertial Sensor Technology
by: Jae-Neung Lee, et al.
Published: (2018-08-01) -
Polish Contribution to the Development of Views on Horse Riding as a Form of Therapy – a Brief Historical Retrospection
by: Renata Urban
Published: (2018-09-01) -
Horse-based leisure activities and farm diversification
by: Judd, Susan Jane
Published: (1994) -
Italian Horse Riding School
by: Zbigniew Wójcik
Published: (2020-03-01) -
A heuristic method to distinguish horse rider mounts using a single wrist mounted inertial sensor
by: Hunt, Doug
Published: (2010)